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Residual stress relaxation in typical weld joints and its effect on fatigue and crack growth

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Acta Metallurgica Sinica(English Letters) 2009年第3期22卷 202-210页

作者： Liangbi LI Zhengquan WAN zili wang Chunyan JI School of Naval Architecture and Ocean Engineering Jiangsu University of Science and Technology Zhenjiang 212003 China China Ship Scientific Research Center Wuxi 214082 China

Many factors influence the fatigue and crack growth behavior of welded joints. Some structures often undergo fairly large static loading before they enter service or variable amplitude cyclic loading when they are in service. The combined effect of both applied stress and high initial residual stress is expected to cause the residual stresses relaxation. Only a few papers seem to deal with appropriate procedures for fatigue analysis and crack growth by considering the combined effect of variable amplitude cyclic loading with residual stresses relaxation. In this article, some typical welded connections in ship-shaped structures are investigated with 3-D elastic-plastic finite element analysis. The effect of residual stress relaxation, initial residual stress, and the applied load after variable amplitude cyclic loading is revealed, and a formula for predicting the residual stress at hot spot quantitatively is proposed. Based on the formula, an improved fatigue procedure is introduced. Moreover, crack growth of typical weld joints considering residual stresses relaxation is studied.

关键词： Residual stress relaxation Weld joint Finite element Fatigue crack growth

Confining SnS_(2)@N,S codoped carbon in core-shell beads of necklace-like fibers towards ultrastable anode for flexible potassium-ion battery

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Journal of Energy Chemistry 2023年第1期76卷 349-358,I0009页

作者： Jiaqi Si Xueya Liu zili wang Sen Zhang Chao Deng Key Laboratory for Photonic and Electronic Bandgap Materials Ministry of EducationCollege of Chemistry and Chemical EngineeringHarbin Normal UniversityHarbin 150001HeilongjiangChina College of Materials Science and Chemical Engineering Harbin Engineering UniversityHarbin 150001HeilongjiangChina

Tin sulfide(SnS_(2))with high theoretical capacity and layered structure is a promising anode candidate for potassium-ion batteries(PIBs).However,the sluggish kinetics,huge volume expansion and polysulfide intermediates dissolution restrict its *** address these issues,a necklace-like hybrid fiber with core–shell beads is designed to achieve the high-performance anode for *** cores of the beads are assembly by SnS_(2)nanocrystals dotted in N,S codoped carbon(NSC)*** they are encapsulated by NSC based shell and form the core–shell structured beads internal the hybrid fiber(CSN fiber).The carbon matrix of SnS_(2)@NSC CSN fiber gives fast ion/electron pathways and facilitates to decrease particle ***,N,S codpants favor to trap the polysulfides intermediates and alleviate the sulfur loss during ***,the voids internal the beads further provide the high accommodation to volume *** all above advantages,the SnS_(2)@NSC CSN fiber achieves the excellent high rate capability and ultrastable cycling property,which obtains a low capacity decay rate of 0.013%after 2000 cycles at 2 A g^(-1).Moreover,its good mechanical characteristics ensure the fabrication of the flexible PIB full cell,which achieves the high pliability,superior power/energy density and high reliability in diverse working ***,this work not only gives a new clue to design the highperformance electrode for potassium storage,but also propels the applications of PIBs for diverse electronics.

关键词： Core-shell structure Tin sulfide Heteroatom dopants Cycling stability Potassium-ion batteries

A new information fusion white noise deconvolution estimator

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控制理论与应用（英文版） 2009年第4期7卷 438-444页

作者： Xiaojun SUN Shigang wang zili DENG Department of Automation University of Heilongjiang Harbin Heilongjiang 150080 China

The white noise deconvolution or input white noise estimation problem has important applications in oil seismic exploration, communication and signal processing. By the modern time series analysis method, based on the autoregressive moving average （ARMA） innovation model, a new information fusion white noise deconvolution estimator is presented for the general multisensor systems with different local dynamic models and correlated noises. It can handle the input white noise fused filtering, prediction and smoothing problems, and it is applicable to systems with colored measurement noises. It is locally optimal, and is globally suboptimal. The accuracy of the fuser is higher than that of each local white noise estimator. In order to compute the optimal weights, the formula computing the local estimation error cross-covariances is given. A Monte Carlo simulation example for the system with Bernoulli-Gaussian input white noise shows the effectiveness and performances.

关键词： Multisensor information fusion Weighted fusion White noise estimator Deconvolution Modern time series analysis method

Physics-Informed AI Surrogates for Day-Ahead Wind Power Probabilistic Forecasting with Incomplete Data for Smart Grid in Smart Cities

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Computer Modeling in Engineering & Sciences 2023年第10期137卷 527-554页

作者： Zeyu Wu Bo Sun Qiang Feng zili wang Junlin Pan School of Reliability and Systems Engineering Beihang UniversityBeijingChina Institute of Reliability Engineering Beihang UniversityBeijingChina

Due to the high inherent uncertainty of renewable energy,probabilistic day-ahead wind power forecasting is crucial for modeling and controlling the uncertainty of renewable energy smart grids in smart ***,the accuracy and reliability of high-resolution day-ahead wind power forecasting are constrained by unreliable local weather prediction and incomplete power generation *** article proposes a physics-informed artificial intelligence(AI)surrogates method to augment the incomplete dataset and quantify its uncertainty to improve wind power forecasting *** incomplete dataset,built with numerical weather prediction data,historical wind power generation,and weather factors data,is augmented based on generative adversarial *** augmentation,the enriched data is then fed into a multiple AI surrogates model constructed by two extreme learning machine networks to train the forecasting model for wind ***,the forecasting models’accuracy and generalization ability are improved by mining the implicit physics information from the incomplete *** incomplete dataset gathered from a wind farm in North China,containing only 15 days of weather and wind power generation data withmissing points caused by occasional shutdowns,is utilized to verify the proposed method’s *** with other probabilistic forecastingmethods,the proposed method shows better accuracy and probabilistic performance on the same incomplete dataset,which highlights its potential for more flexible and sensitive maintenance of smart grids in smart cities.

关键词： Physics-informed method probabilistic forecasting wind power generative adversarial network extreme learning machine day-ahead forecasting incomplete data smart grids

Atomically dispersed Fe-Ni dual sites in heteroatom doped carbon tyres for efficient oxygen electrocatalysis in rechargeable Zn-Air battery

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Journal of Energy Chemistry 2023年第8期83卷 264-274,I0008页

作者： zili wang Caiyun Li Yukun Liu Yu Wu Sen Zhang Chao Deng Key Laboratory for Photonic and Electronic Bandgap Materials Ministry of EducationCollege of chemistry and chemical engineeringHarbin Normal UniversityHarbin 150025HeilongjiangChina College of Material Science and Chemical Engineering Harbin Engineering UniversityHarbin 150001HeilongjiangChina

The electronic and functional synergies between the twin metal centers make dual single-atom catalysts(DACs) attractive for oxygen electrocatalysis. The catalytic activities of DACs are largely decided by their surrounding micro-environment and supporting substrates. Modulating the micro-environment as well as engineering the efficient support is challenging tasks. Moreover, both are critical to optimizing the performance of DACs. Herein, a novel bio-cooperative strategy is developed to synthesize Fe Ni-DAC wherein Fe-Ni dual-atom sites are embedded in the N, P codoped tyre shaped carbon matrix. The configuration matching of Fe-Ni dual centers together with the local electronic engineering of N, P heteroatoms synergistically boost the catalytic activity on the oxygen reaction. Furthermore, the central-hollow highlyporous carbon matrix not only gives rise to a large amount of active sites, but also facilitates fast *** advantage of both the DAC and the substrate, the Fe Ni-NPC hollow tyre(HT) catalyst scores high in both oxygen reduction and evolution reactions, which exhibits the narrow potential difference and excellent durability. The aqueous Zn-air full battery(ZAB) integrating the Fe Ni-NPC HT air cathode has a high power density and a good stability over long-term cycling. Moreover, the flexible solid-state ZAB assembled with the polymer electrolyte obtains the high reliability over a wide range of temperatures or under diverse outside deformations. Therefore, this work offers a new green approach to prepare highly efficient DACs with built-in modulated micro-environment and tailor-made substrates. Moreover,it also paves a new way to develop highly-pliable power source for flexible electronics.

关键词： FeNi dual sites P,N codoped carbon Bio-assisted stategy Zn-air battery

Spatio-temporal Evolution of Urban Expansion Based on a Novel Adjusted Index and GEE: A Case Study of Central Plains Urban Agglomeration, China

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Chinese Geographical Science 2023年第4期33卷 736-750页

作者： SU Yanlin LU Chunyan SU Yue wang zili HUANG Yufei YANG Nuocheng College of Computer and Information Sciences Fujian Agriculture and Forestry UniversityFuzhou 350002China Research Centre of Resource and Environment Spatial Information Statistics of Fujian Province Fujian Agriculture and Forestry UniversityFuzhou 350002China Key Laboratory of Ecology and Resources Statistics of Fujian Province Universities Fujian Agriculture and Forestry UniversityFuzhou 350002China

It is crucial to investigate the urban agglomerations spatio-temporal evolution patterns and driving factors for analyzing the urban spatial structure-functional division and promoting the coordinated development of urban *** this study,a novel vegetation-building-nighttime light-adjusted index(VBNAI)was established for rapid and effective mapping of urban construction land(UCL)in Central Plains Urban Agglomeration(CPUA),China during 2000–2020 based on Google Earth Engine(GEE)*** with traditional indices,VBNAI can significantly decrease the blooming effect,Normalized Difference Vegetation Index(NDVI)saturation,and soil background of nighttime light *** addition,the urban expansion indices and standard deviation ellipse model were synthetically adopted to analyze the spatio-temporal evolution pattern of urban *** gravity model and the geographically weighted regression model were employed to determine the spatial interaction forces and drivers of urban expansion,*** results showed that the VBNAI index has obvious advantages in efficiency and accuracy to extract UCL with the overall accuracy of more than 91%.The UCL of CPUA had increased by 4489.84 km2 during 2000–2020 with the gravity center moving towards southeast *** 2000 to 2010,the urban expansion was in a‘center-hinterland’pattern which had benefit from the favorable effect of the traffic shaft *** 2010–2020,the urban network structure had basically *** expansion had been influenced by a variety of socio-economic and demographic factors,and the impact degree varied from region to *** study could provide scientific references for facilitating the intensive utilization of urban resources and optimizing the spatial development pattern of urban agglomeration.

关键词： urban expansion urban construction land(UCL)mapping vegetation-building-nighttime light-adjusted index(VBNAI) multi-source remote sensing Google Earth Engine(GEE) Central Plains Urban Agglomeration(CPUA),China

Spatio-temporal Variations of Temperature and Precipitation During 1951–2019 in Arid and Semiarid Region, China

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Chinese Geographical Science 2022年第2期32卷 285-301页

作者： HUANG Yufei LU Chunyan LEI Yifan SU Yue SU Yanlin wang zili College of Computer and Information Sciences Fujian Agriculture and Forestry UniversityFuzhou 350002China Key Laboratory of Ecology and Resources Statistics of Fujian Province Universities Fujian Agriculture and Forestry UniversityFuzhou 350002China Statistical Information Research Center of Fujian Province Fujian Agriculture and Forestry UniversityFuzhou 350002China Research Centre of Resource and Environment Spatial Information Statistics of Fujian Province Fujian Agriculture and Forestry UniversityFuzhou 350002China

Understanding the spatio-temporal variations of temperature and precipitation in the arid and semiarid region of China(ASRC)is of great significance for promoting regional eco-environmental protection and *** this study,the annual and seasonal spatio-temporal patterns of change in average temperature and precipitation and their influencing factors in the ASRC were analyzed using the Mann-Kendall test,linear tendency estimation,accumulative anomaly and the Pearson’s correlation *** results showed that both annual average temperature and average annual precipitation increased in the ASRC during 1951–*** temperature rose by about 1.93℃and precipitation increased by about 24 *** seasonal average temperature presented a significant increase trend,and the seasonal precipitation was conspicuous ascension in spring and *** spatio-temporal patterns of change in temperature and precipitation differed,with the southwest area showing the most obvious variation in each *** changes in annual and seasonal average temperature and precipitation occurred mainly around the 1990 s and after 2000,*** circulation had an important effect on the trends and abrupt changes in temperature and *** East Asian summer monsoon had the largest impact on the trend of average annual temperature,as well as on the abrupt changes of annual average temperature and *** and precipitation changes in the ASRC were influenced by long-term and short-term as well as direct and indirect anthropogenic and natural *** study identifies the characteristics of spatio-temporal variations in temperature and precipitation in the ASRC and provides a scientific reference for the formulation of climate change responses.

关键词： multi-source remote sensing data temperature precipitation arid and semiarid region spatio-temporal variation atmospheric circulation

Low-strain binary hexacyanoferrate nanocuboids with concentration-gradient structure towards fast and durable energy storage

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Journal of Energy Chemistry 2022年第11期31卷 72-84,I0004页

作者： Yutong Lin Bing Han Donglan Zhang Xueya Liu zili wang Zhengyu wang Liang Si Sen Zhang Chao Deng Key Laboratory for Photonic and Electronic Bandgap Materials Ministry of EducationCollege of Chemistry and Chemical EngineeringHarbin Normal UniversityHarbin 150001HeilongjiangChina College of Materials Science and Chemical Engineering Harbin Engineering UniversityHarbin 150001HeilongjiangChina

The exploration of low-strain and high-performance electrode is a crucial issue for aqueous potassiumion battery(AKIB).Herein,a novel potassium mediated iron/manganese binary hexacyanoferrate nanocuboid,i.e.,K_(x)Fe_(y)Mn_(1-y)[Fe(CN)_(6)]·nH_(2)O(KFeMnHCF)nanocuboid,with the concentration-gradient(CG)structure is designed as a high-performance cathode for *** the CG-KFeMnHCF nanocuboids,the manganese content gradually decreases from the interior to the surface and the iron content changes reverse,resulting in the concentration-gradient *** experimental and finite element simulation(FEA)results demonstrate the lower internal stress and better mechanical characteristics of CG structured nanocuboid than the homogenous structured one upon ion intercalation/deintercalation ***,the electrochemical testing and theoretical calculation(DFT)results disclose the substitution of Fe to Mn in the KMnHCF crystal results in the enhanced electronic conductivity,potassium migration and electrochemical *** both advantages from the well-designed architecture and optimized crystal structure,the CG-KFeMnHCF achieves the superior rate capability and ultrahigh stability in aqueous potassium ion *** particular,the CG-KFe_(0.31)Mn_(0.69)HCF achieves the best comprehensive properties among all the *** full AKIBs based on CG-KFe_(0.31)Mn_(0.69)HCF cathode achieves the high energy density(83 Wh kg^(-1)),superior power density,high capacity retention(83%)over high-rate long-term cycles,good adaptation to a wide temperature range(-20 to 40℃)and high reliability even under outside ***,this work not only provides a new clue to design the highperformance cathode,but also promotes the applications of AKIBs for diverse electronics and wide working environments.

关键词： Concentration-gradient structure Binary hexacyanoferrate nanocuboid AKIBs Low-strain FEA modeling

A novel adaptive pigeon-inspired optimization algorithm based on evolutionary game theory

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Science China(Information Sciences) 2021年第3期64卷 241-242页

作者： Xingshuo HAI zili wang Qiang FENG Yi REN Bo SUN Dezhen YANG School of Reliability and Systems Engineering Beihang University

Dear editor,In pigeon-inspired optimization(PIO) algorithm [1], the computational process consists of two different stages that originate from the tools pigeons depending on during a flight. Based on this, its variant... 详细信息

关键词： Pigeon-inspired optimization, Global continuous optimization problems, Evolutionary game theory Adaptability Local optimum